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      The REDCap Consortium: Building an International Community of Software Platform Partners

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          Abstract

          The Research Electronic Data Capture (REDCap) data management platform was developed in 2004 to address an institutional need at Vanderbilt University, then shared with a limited number of adopting sites beginning in 2006. Given bi-directional benefit in early sharing experiments, we created a broader consortium sharing and support model for any academic, non-profit, or government partner wishing to adopt the software. Our sharing framework and consortium-based support model have evolved over time along with the size of the consortium (currently more than 3,200 REDCap partners across 128 countries). While the “REDCap Consortium” model represents only one example of how to build and disseminate a software platform, lessons learned from our approach may assist other research institutions seeking to build and disseminate innovative technologies.

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          Author and article information

          Journal
          100970413
          22289
          J Biomed Inform
          J Biomed Inform
          Journal of biomedical informatics
          1532-0464
          1532-0480
          6 May 2020
          09 May 2019
          July 2019
          01 July 2020
          : 95
          : 103208
          Affiliations
          [1 ]Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, USA
          [2 ]Department of Biomedical Engineering, Vanderbilt University, Nashville, TN, USA
          [3 ]Vanderbilt Institute for Clinical and Translational Research, Vanderbilt University Medical Center, Nashville, TN, USA
          Author notes
          Corresponding Author: Paul A. Harris, PhD, Director, Office of Research Informatics, Professor, Department of Biomedical Informatics & Department of Biomedical Engineering, Vanderbilt University, Phone: 615.322.6688, Paul.Harris@ 123456vanderbilt.edu
          Article
          PMC7254481 PMC7254481 7254481 nihpa1590294
          10.1016/j.jbi.2019.103208
          7254481
          31078660
          60d3518f-0816-4831-8b4f-8347d3a414af
          History
          Categories
          Article

          Clinical Research,Translational Research,Electronic Data Capture,Medical Informatics

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